| Literature DB >> 31859437 |
Andreas Heinz1, Falk Kiefer2, Michael N Smolka3, Tanja Endrass4, Christian Beste5, Anne Beck1, Shuyan Liu1, Alexander Genauck1, Lydia Romund1, Tobias Banaschewski6, Felix Bermpohl1, Lorenz Deserno3,7, Raymond J Dolan7, Daniel Durstewitz8, Ulrich Ebner-Priemer9, Herta Flor10,11, Anita C Hansson12, Christine Heim13,14, Derik Hermann2,15, Stefan Kiebel3,16, Peter Kirsch17, Clemens Kirschbaum18, Georgia Koppe8, Michael Marxen3, Andreas Meyer-Lindenberg19, Wolfgang E Nagel20, Hamid R Noori12,21, Maximilian Pilhatsch22, Josef Priller23,24, Marcella Rietschel25, Nina Romanczuk-Seiferth1, Florian Schlagenhauf1, Wolfgang H Sommer2,12, Jan Stallkamp26, Andreas Ströhle1, Ann-Kathrin Stock5, Georg Winterer27, Christine Winter1, Henrik Walter1, Stephanie Witt25, Sabine Vollstädt-Klein2, Michael A Rapp28, Heike Tost19, Rainer Spanagel12.
Abstract
One of the major risk factors for global death and disability is alcohol, tobacco, and illicit drug use. While there is increasing knowledge with respect to individual factors promoting the initiation and maintenance of substance use disorders (SUDs), disease trajectories involved in losing and regaining control over drug intake (ReCoDe) are still not well described. Our newly formed German Collaborative Research Centre (CRC) on ReCoDe has an interdisciplinary approach funded by the German Research Foundation (DFG) with a 12-year perspective. The main goals of our research consortium are (i) to identify triggers and modifying factors that longitudinally modulate the trajectories of losing and regaining control over drug consumption in real life, (ii) to study underlying behavioral, cognitive, and neurobiological mechanisms, and (iii) to implicate mechanism-based interventions. These goals will be achieved by: (i) using mobile health (m-health) tools to longitudinally monitor the effects of triggers (drug cues, stressors, and priming doses) and modify factors (eg, age, gender, physical activity, and cognitive control) on drug consumption patterns in real-life conditions and in animal models of addiction; (ii) the identification and computational modeling of key mechanisms mediating the effects of such triggers and modifying factors on goal-directed, habitual, and compulsive aspects of behavior from human studies and animal models; and (iii) developing and testing interventions that specifically target the underlying mechanisms for regaining control over drug intake.Entities:
Keywords: addiction; alternative rewards; animal and computational models; cognitive-behavioral control; craving and relapse; habit formation
Year: 2019 PMID: 31859437 DOI: 10.1111/adb.12866
Source DB: PubMed Journal: Addict Biol ISSN: 1355-6215 Impact factor: 4.280